I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

mcp-image-gen
MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.
3 years
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Image Generation MCP Server
A Model Context Protocol (MCP) server that enables seamless generation of high-quality images via Together AI. This server provides a standardized interface to specify image generation parameters.
Features
- High-quality image generation powered by the Flux.1 Schnell model
- Support for customizable dimensions (width and height)
- Clear error handling for prompt validation and API issues
- Easy integration with MCP-compatible clients
Installation
Claude Desktop
- On MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json
- On Windows:
%APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"image-gen": {
"command": "uv",
"args": ["--directory", "/ABSOLUTE/PATH/TO/image-gen/", "run", "image-gen"],
"env": {
"TOGETHER_AI_API_KEY": "<API KEY>"
}
}
}
}
Available Tools
The server implements one tool:
generate_image
Generates an image based on the given textual prompt and optional dimensions.
Input Schema:
{
"prompt": {
"type": "string",
"description": "A descriptive prompt for generating the image (e.g., 'a futuristic cityscape at sunset')"
},
"width": {
"type": "integer",
"description": "Width of the generated image in pixels (optional)"
},
"height": {
"type": "integer",
"description": "Height of the generated image in pixels (optional)"
},
"model": {
"type": "string",
"description": "The exact model name as it appears in Together AI. If incorrect, it will fallback to the default model (black-forest-labs/FLUX.1-schnell)."
}
}
Prerequisites
- Python 3.12 or higher
- httpx
- mcp
Contributing
Contributions are welcome! Please follow these steps to contribute:
- Fork the repository
- Create a new branch (
feature/my-new-feature
) - Commit your changes
- Push the branch to your fork
- Open a Pull Request
For significant changes, please open an issue first to discuss your proposed changes.
License
This project is licensed under the MIT License. See the LICENSE file for details.
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Reviews

user_ezMmkEzL
As a dedicated user of the Azure Model Context Protocol (MCP) Hub, I am thoroughly impressed by its seamless integration and robust functionality. This tool simplifies the complexity of managing models in a cloud environment, making it an invaluable resource for developers. The user interface is intuitive, and the documentation provided by Azure-Samples is comprehensive, ensuring a smooth setup process. The MCP Hub consistently delivers high performance and reliable results, making it a must-have for anyone working with Azure services. I highly recommend checking out the MCP Hub via the provided link.